Senior Data Engineer

The available sources do not contain information about the company name for rounx.com.; India; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

rounx.com is seeking a Senior Data Engineer to design and build scalable data infrastructure that powers decision-making and product capabilities. You will own end-to-end system design, data governance, and pipeline development, collaborating with product teams to align roadmaps and deliver production-ready data products.

The ideal candidate has 5–8 years of experience building large-scale data pipelines, strong SQL/Python skills, and hands-on Snowflake, DBT, and Airflow experience, plus cloud

Qualifications

• 5–8 years of experience building and operating large-scale data pipelines and platforms.
• Strong SQL and Python skills.
• Experience with Snowflake ecosystem including Snowpark, data sharing, and dynamic tables.
• Proficiency with DBT and Apache Airflow.

Responsibilities

• Design and build scalable data infrastructure to support decision-making and product capabilities.
• Own end-to-end system design, data governance, and pipeline development.
• Collaborate with product teams to align roadmaps and deliver production-ready data products.

Skills

SQL

Python

Airflow

Data governance

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

Snowpark

DBT

Apache Airflow

Job description

We are seeking a Senior Data Engineer to design and build scalable data infrastructure that supports internal decision-making and external product capabilities. This role involves end-to-end ownership of complex system design, data governance, and pipeline development, with a focus on delivering high-quality, production-ready data products. You will collaborate closely with product teams, align with roadmaps, and contribute to agile data product development practices.

The ideal candidate holds a Bachelor’s degree in Computer Science or a related field, with 5–8 years of experience in building and operating large-scale data pipelines and platforms. Expertise in SQL, Python, Snowflake (including Snowpark, dynamic tables, and data sharing), and DBT is required. Proficiency with Apache Airflow and dimensional modeling is essential. Experience with ML tooling, cloud infrastructure (AWS, Azure, GCP), and real-time data architectures is highly preferred. Strong system design skills, communication abilities, and a collaborative mindset are critical for success in this role.